Modeling stormwater management at the city district level in response to changes in land use and low impact development

Kong, F, Ban, Y, James, P and Dronova, I 2017, 'Modeling stormwater management at the city district level in response to changes in land use and low impact development' , Environmental Modelling & Software, 95 , pp. 132-142.

[img] PDF - Accepted Version
Restricted to Repository staff only until 23 June 2018.

Download (1MB) | Request a copy

Abstract

Mitigating the impact of increasing impervious surfaces on stormwater runoff by low impact development (LID) is currently being widely promoted at site and local scales. In turn, the series of distributed LID implementations may produce cumulative effects and benefit the stormwater management at larger regional scales. However, the potential of multiple LID implementations to mitigate the broad-scale impacts of urban stormwater is not yet fully understood, particularly among different design strategies to reduce directly connected impervious areas (DCIA). In this study, the hydrological responses of stormwater runoff characteristics to four different land use conversion scenarios at the city scale were explored using GIS-based Stormwater Management Model (SWMM). Model simulation results confirmed the effectiveness of LID controls; however, they also indicated that even with the most beneficial scenarios hydrological performance of developed areas was still not yet up to the pre-development level, especially with pronounced changes from pervious to impervious land.

Item Type: Article
Schools: Schools > School of Environment and Life Sciences > Ecosystems and Environment Research Centre
Journal or Publication Title: Environmental Modelling & Software
Publisher: Elsevier
ISSN: 1364-8152
Related URLs:
Depositing User: Professor Philip James
Date Deposited: 20 Jun 2017 13:01
Last Modified: 08 Aug 2017 17:14
URI: http://usir.salford.ac.uk/id/eprint/42645

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year